Paper Citation Record · LEDGER

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost

As of 9 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2507.20008.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.20008 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:53:40.637640Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact1
verified fuzzy9
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f52a27e5-8345-426e-8dc0-ad027c1a9450 · outbound

This paper cites Autoencoders,.

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost Autoencoders,

Reference 1

Resolution: verified exact; raw_fallback, observed 2026-08-06T13:53:41.576785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4ff50879-6d6f-4ea8-84f2-8e283893e9bb · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost Semi-Supervised Classification with Graph Convolutional Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T13:53:39.210063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d7a2c87-fef9-41e0-bdcc-63e11cc1bf10 · outbound

This paper cites Graph attention networks,.

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost Graph attention networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:53:43.174109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c43decbd-4121-4b1b-8a9f-6beee40c8316 · outbound

This paper cites Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift.

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T13:53:39.385558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 601bab71-b771-4280-af86-2d1a3dd7228a · outbound

This paper cites AmbieGen: A Search-based Framework for Autonomous Systems Testing.

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost AmbieGen: A Search-based Framework for Autonomous Systems Testing

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T13:53:41.327629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d4a9666-75b6-462b-96ac-e372e1be385f · outbound

This paper cites Rethinking the Role of Token Retrieval in Multi-Vector Retrieval.

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost Rethinking the Role of Token Retrieval in Multi-Vector Retrieval

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T13:53:41.124859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1596296e-5705-401e-9449-51c1e41b8828 · outbound

This paper cites On analysis of gan-based image-to-image translation with gaussian noise injection,.

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost On analysis of gan-based image-to-image translation with gaussian noise injection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:53:42.988119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 60ad0db3-6930-40ec-a497-4dba163f71cc · outbound

This paper cites Current-driven dynamics of antiferromagnetic skyrmions: from skyrmion Hall effects to hybrid inter-skyrmion scattering.

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost Current-driven dynamics of antiferromagnetic skyrmions: from skyrmion Hall effects to hybrid inter-skyrmion scattering

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T13:53:40.853637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 72d6e4d9-aafb-4ce8-aad3-bf146e958a17 · outbound

This paper cites Distributionally Robust Receive Combining.

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost Distributionally Robust Receive Combining

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T13:53:39.982383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25114691-5993-4e50-a7d6-768c298e814d · outbound

This paper cites Xgboost: A scalable tree boosting system,.

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost Xgboost: A scalable tree boosting system,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:53:42.765032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8fdad2b8-39b2-4c2c-b604-8d3ca262e705 · outbound

This paper cites Catboost: Unbiased boosting with categorical features,.

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost Catboost: Unbiased boosting with categorical features,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:53:42.605709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 81a69f61-2a0a-4ca3-a210-047c2fd191df · outbound

This paper cites Lightgbm: A highly efficient gradient boosting decision tree,.

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost Lightgbm: A highly efficient gradient boosting decision tree,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:53:42.469577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c5d96d62-c81b-4cc9-9933-a17dfd894a0f · outbound

This paper cites Timesnet: Temporal and inter-sample correlation exploration for multivariate time series forecasting,.

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost Timesnet: Temporal and inter-sample correlation exploration for multivariate time series forecasting,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:53:42.298551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e23f9ede-335f-4c90-913f-afca4886c889 · outbound

This paper cites Autoformer: Decomposition trans- formers with auto-correlation for long-term series forecasting,.

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost Autoformer: Decomposition trans- formers with auto-correlation for long-term series forecasting,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:53:42.097205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 619e6eec-a871-43bd-a085-f5c99f6304d3 · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting,.

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:53:41.945488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 889d4a77-334d-4ed2-8fa4-7b460b9027e1 · outbound

This paper cites Informer: Beyond efficient trans- former for long sequence time-series forecasting,.

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost Informer: Beyond efficient trans- former for long sequence time-series forecasting,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:53:41.744317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.